Sushil Poudel

Part engineer, part explorer. Platform & Data Engineer with hands-on experience in Kubernetes and cloud infrastructure. Passionate about scalable systems, automation, and data-driven platforms.

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About Me

For me, technology isn’t just about code — it’s about solving problems, making life easier, and creating systems that grow with people’s needs.

Developing With a Passion While Exploring The World.

Master’s student in Information Systems, building scalable systems with Kubernetes and data pipelines. Hands-on in data engineering, DevOps, and software using Python, AWS, PostgreSQL, Git, CI/CD, and Kubernetes. I solve real problems: reliable infra, data insights, new tools. Outside work, I learn, travel, and connect with people.

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Fields That Excite Me

Here’s where I see myself creating the most impact.

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Data Engineering

Turning raw data into clean, actionable insights with reliable pipelines.

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Platform Engineering​

Automating workflows and scaling apps with Kubernetes and modern CI/CD.

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Artificial Intelligence

Exploring AI to build smart, practical solutions for real-world problems.

Projects

Projects that I have worked on and build on.

Close-up view of a high-tech computer interface displaying cyber security data, enhancing digital protection.

Istio mesh

tio service mesh is a powerful open-source layer that sits on top of Kubernetes to manage how services communicate with each other. It introduces a sidecar proxy (Envoy) that handles traffic routing, security, and observability without requiring changes to application code.
  • istio, ca-certificate
Close-up of hands typing on a laptop displaying cybersecurity graphics, illuminated by purple light.

Kubernetes Infrastructure

When people say “Kubernetes infrastructure”, they usually mean all the stuff around and under your cluster that makes it reliable, scalable and secure — not just the pods and deployments.
  • grafana, flannel
Close-up of a computer screen displaying programming code in a dark environment.

Recomender system

A recommender system (or recommendation system) is an algorithmic approach that predicts what a user is likely to prefer and suggests relevant items—such as products, movies, songs, articles, or services.
  • qdrant, django
A man working at control panels in a dimly lit industrial room with various monitors.

Build a predictive model

Building a model is an engineering discipline, not just a data science task. The industry standard lifecycle (evolved from CRISP-DM to modern MLOps) consists of six stages.
  • python, spss
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AI Chatbot with RAG

RAG, introduced by Lewis et al. (2020), bridges the gap between parametric memory (pre-trained LLM weights) and non-parametric memory (external, up-to-date data). For a senior engineer, the architecture is best understood as two distinct pipelines.
  • html, css, llamaindex
Laptop displaying charts and graphs with tablet calendar for data analysis and planning.

Data Mesh

Executive Summary Data Mesh is a socio-technical architectural paradigm that decentralizes data management. Instead of consolidating data into a monolithic centralized repository (like a
  • WordPress, Html

Working Process

I like to keep things simple: listen, build, improve.
Every project starts with a conversation and ends with something that works — and grows better over time.

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